Data Engineer (Python, Snowflake, AWS & DBT) - Assistant Vice President - AI, Data & Platforms

KKR's Gurugram office provides best-in-class business operations services and solutions to our internal stakeholders and clients, drives organization-wide process efficiency and transformation, and reflects KKR's global culture and values of teamwork and innovation. The office contains multifunctional business capabilities and is integral in furthering the growth and transformation of KKR. The office was established with an initial concentration of finance, operations, and technology personnel, followed by the expansion of additional functions and capabilities. KKR’s creation of a Gurugram office builds upon the firm's momentum in India and bolsters its existing presence in Mumbai.

TEAM OVERVIEW

KKR’s Technology team is responsible for building and supporting the firm’s technological foundation including a globally distributed infrastructure, information security, and the application and data platforms. The team drives a culture of technology excellence across the firm through efficient workflow automation, democratization of data through modern data and collaboration platforms, and more recently through research and development of Generative AI based tools and services. Technology is regarded as a key business enabler at KKR and is an important accelerator to drive towards global scale creation and business process transformation. The Technology team consists of highly technical and business-centric technologists with the ability to form strong partnerships across all of our businesses. A dedicated Program Management function along with the Product Managers drive execution discipline across multiple technology teams with a goal to consistently deliver excellence serving our business needs.

POSITION SUMMARY

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable analytics, reporting, and advanced data science use cases. You will work closely with data analysts, data scientists, and engineering teams to ensure data is reliable, accessible, and production-ready. 
We are operating in a 4-day in office, 1-day flexible work arrangement.

ROLES & RESPONSIBILITIES

• Design, develop, and maintain robust data pipelines for batch and real-time processing
• Build and manage data ingestion frameworks from multiple structured and unstructured data sources
• Develop and optimize ETL / ELT workflows, including building modular, tested, and version-controlled transformations using dbt 
• Ensure data quality, integrity, availability, and security across platforms
• Collaborate with analytics, data science, and product teams to understand data requirements
• Model data for analytics and reporting (dimensional modeling, star/snowflake schemas)
• Monitor and troubleshoot data pipelines and resolve performance or reliability issues
• Implement best practices for data governance, documentation, and lineage

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